Physics – Physics and Society
Scientific paper
2005-10-31
Physics
Physics and Society
Scientific paper
Understanding texts requires memory: the reader has to keep in mind enough words to create meaning. This calls for a relation between the memory of the reader and the structure of the text. To investigate this interaction, we first identify a connectivity matrix defined by co-occurrence of words in the text. A vector space of words characterizing the text is spanned by the principal directions of this matrix. It is useful to think of these weighted combinations of words as representing ``concepts''. As the reader follows the text, the set of words in her window of attention follows a dynamical motion among these concepts. We observe long range power law correlations in this trajectory. By explicitly constructing surrogate hierarchical texts, we demonstrate that the power law originates from structural organization of texts into subunits such as chapters and paragraphs.
Alvarez-Lacalle E.
Dorow Beate
Eckmann Jean-Pierre
Moses Elisha
No associations
LandOfFree
A quantitative analysis of concepts and semantic structure in written language: Long range correlations in dynamics of texts does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with A quantitative analysis of concepts and semantic structure in written language: Long range correlations in dynamics of texts, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A quantitative analysis of concepts and semantic structure in written language: Long range correlations in dynamics of texts will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-292497